IS WORK OVER?

Automation index

How much of a Gilder’s job can AI already do?

A bole comes earlier. Laying gold leaf without seeing the join do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Gilder

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Prep, bole and the ground.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Lay, gold leaf and the join.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Burnish, matte and the one that lifts.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Frame, altarpiece and the client who touches.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The humidity, the shop and not laying in a rush.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
No visible join, and not eating the gold.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • bole
  • gold leaf
  • burnish
  • joins
  • frames
  • altarpieces
  • matte
  • gilding ground

Sources for this job· O*NET 51-9123.00· ESCO/ISCO 7316

Home-automation installer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Diagram, buses and scene programming.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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